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ee.Classifier.decisionTreeEnsembleStay organized with collectionsSave and categorize content based on your preferences.
Creates a classifier that applies the given decision trees.
Usage
Returns
ee.Classifier.decisionTreeEnsemble(treeStrings)
Classifier
Argument
Type
Details
treeStrings
List
The decision trees, specified in the text format generated by R and other similar tools. Each item in the list should contain one or more trees in text format.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[],["The core functionality involves generating a classifier from a list of decision trees. The `ee.Classifier.decisionTreeEnsemble(treeStrings)` function is used to create this classifier. It takes a list of `treeStrings` as input, where each string represents one or more decision trees in a specific text format. The function then returns a new classifier that can apply this ensemble of decision trees.\n"]]
